How can we teach a robot to predict what will happen next for an activity it has never seen
before? We address the problem of zero-shot anticipation by presenting a hierarchical …

There is a large variation in the activities that humans perform in their everyday lives. We
consider modeling these composite human activities which comprises multiple basic level …

Can we teach a robot to recognize and make predictions for activities that it has never seen
before? We tackle this problem by learning models for video from text. This paper presents a …

This article discusses the implementation of a brain-inspired episodic memory model, which
provides memory assistance and tackles the modern public issue of memory impairment …

An automated system which recognizes human action from continuous videos, though seem
like a work of fiction, is possible now due to the magnificent increase in processing power …

One of the main abilities that the robots need to maintain is to efficiently communicate with
people in a humanly manner. Thus, human activity recognition (HAR) would be an integral …

Intelligent surveillance systems in human-centered environments require people behavioral
monitoring. In this paper, we propose a new Bayesian framework to recognize actions on …

The activities we do in our daily-life are generally carried out as a succession of atomic
actions, following a logical order. During a video sequence, actions usually follow a logical …

The domains of artificial intelligence and machine learning continue to advance at a rapid
speed in terms of algorithms, models, applications, and hardware thanks to an exponential …

The process of learning is typical for the most assistive and autonomous robots. Considering
the learning as a complex process, the issue of the data labeling is in the focus of this paper …